STAT 403 Analysis of Correlated Data
Introduction to statistical methods for analysis of correlated or clustered data arising in many settings in health and biomedical research. Topics include basic descriptive methods, methods for cluster analysis, methods for repeated measures and longitudinal data analysis, likelihood-based methods and quasi-likelihood methods for estimating population parameters, and regression methods for both continuous and discrete outcomes. The course emphasizes practical application and makes extensive use of open-source software such as R.
Credits
4
Prerequisite
STAT 402 or permission of department chair.